Today, humans have to interpret large sets of different data to make a decision. Using gut feeling is nothing but gambling. Therefore, big data analytics is getting more and more important every year to make better decisions. However, just doing big data analytics is not enough. In many use cases, systematic and monitored human interactions are as important to get best outcomes.
NoSQL Matters Conference 2014
NoSQL Matters is a great conference about different NoSQL topics. A lot of great NoSQL products and use cases are presented. In November 2014, I had a talk about “Real World Use Cases and Success Stories for In-Memory Data Grids” in Barcelona, Spain. I discussed several different use cases, which our TIBCO customers implemented using our In-Memory Data Grid “TIBCO ActiveSpaces“. I will present the same content at data2day, a German conference in Karlsruhe about big data topics.
In October 2014, I had a talk at Jazoon in Zurich, Switzerland: “A New Front for SOA: Open API and API Management as Game Changer”
Business Perspective – Open API and API Management
Open API represent the leading edge of a new business model, providing innovative ways for companies to expand brand value and routes to market, and create new value chains for intellectual property. In the past, SOA strategies mostly targeted internal users. Open APIs target mostly external partners.
Comparison of Stream Processing and Streaming Analytics Alternatives (Apache Storm, Spark, IBM InfoSphere Streams, TIBCO StreamBase, Software AG Apama)Posted in Analytics, Big Data, Business Intelligence, Hadoop on September 10th, 2014 by Kai Wähner
The demand for stream processing is increasing a lot these days. Frameworks (Apache Storm, Spark) and products (e.g. IBM InfoSphere Streams, TIBCO StreamBase, Software AG Apama) for stream processing and streaming analytics are getting a lot of attention these days. The reason is that often processing big volumes of data is not enough. Data has to be processed fast, so that a firm can react to changing business conditions in real time. This is required for trading, fraud detection, system monitoring, and many other examples. A “too late architecture” cannot realize these use cases.
Intelligent Business Process Management Suites (iBPMS) – The Next-Generation BPM for a Big Data WorldPosted in Analytics, Big Data, BPM, Business Intelligence, EAI, ESB, Hadoop, Social Network on August 27th, 2014 by Kai Wähner
In August 2014, I had an interesting talk at ECSA 2014 in Vienna about iBPMS called The Next-Generation BPM for a Big Data World: Intelligent Business Process Management Suites (iBPMS). iBPMS is a term introduced by Gartner some time ago: Magic Quadrant for Intelligent Business Process Management Suites.
I want to share the slides with you. As always, I appreciate every comment or feedback…
Abstract: iBPMS / iBPM
Here is the abstract of my session about iBPMS:
TIBCO BusinessWorks (ESB) for Integration of Salesforce (CRM), SAP (ERP) and Tibbr (Social Enterprise Network)Posted in EAI, ESB, SOA on August 18th, 2014 by Kai Wähner
This short video shows how you can integrate different technologies and enterprise software easily with TIBCO Businessworks (ESB).
The demo shows live development and integration of Salesforce (CRM), SAP (ERP) and Tibbr (TIBCO’s Social Enterprise Network).
Any other technology or application can be integrated in the same easy way with the same concepts. Visual development, mapping, testing and debugging is shown. No coding is required.
Video: Integration of Salesforce, SAP and Tibbr with TIBCO BusinessWorks
Today, I had a talk about “Enterprise Integration Patterns (EIP) Revisited in 2014″ at Java Forum Stuttgart 2014, a great conference for developers and architects with 1600 attendees.
Enterprise Integration Patterns
Data exchanges between companies increase a lot. Hence, the number of applications which must be integrated increases, too. The emergence of service-oriented architectures and cloud computing boost this even more. The realization of these integration scenarios is a complex and time-consuming task because different applications and services do not use the same concepts, interfaces, data formats and technologies.
Fundamentals of Stream Processing (IBM InfoSphere Streams, TIBCO StreamBase, Apache Storm) – Book ReviewPosted in Analytics, Big Data, Hadoop on July 1st, 2014 by Kai Wähner
Internet of things, cloud and mobile are the major drivers for stream processing. Use cases are network monitoring, intelligent surveillance, but also less technical things such as inventory management or fraud detection. The book helps a lot to get a basic understanding about history, concepts and patterns of the stream processing paradigm.
“Fundamentals of Stream Processing: Application Design, Systems, and Analytics” (www.amazon.com/Fundamentals-Stream-Processing-Application-Analytics/dp/1107015545) is one of only few books available about stream processing. Published in 2014 by Cambridge University Press. Authors are Henrique C. M. Andrade (JP Morgan, New York), Bugra Gedik (Bilkent University, Turkey), Deepak S. Turaga (IBM Thomas J. Watson Research Center, New York).
“Hadoop and Data Warehouse (DWH) – Friends, Enemies or Profiteers? What about Real Time?” – Slides (including TIBCO Examples) from JAX 2014 OnlinePosted in Analytics, Big Data, Business Intelligence, Cloud, ESB, Hadoop on May 13th, 2014 by Kai Wähner
Slides from my talk “Hadoop and Data Warehouse (DWH) – Friends, Enemies or Profiteers? What about Real Time?” at JAX 2014 (Twitter #jaxcon) in Mainz are online. JAX is a great conference with interesting topics and many good speakers!
Content (Data Warehouse, Business Intelligence, Hadoop, Stream Processing)
Big data represents a significant paradigm shift in enterprise technology. Big data radically changes the nature of the data management profession as it introduces new concerns about the volume, velocity and variety of corporate data. New business models based on predictive analytics, such as recommendation systems or fraud detection, are relevant more than ever before. Apache Hadoop seems to become the de facto standard for implementing big data solutions. For that reason, solutions from many different vendors emerged on top of Hadoop.
Slides from OOP 2014 Online: Next-Generation BPM – How to create intelligent Business Processes thanks to Big DataPosted in BPM on February 6th, 2014 by Kai Wähner
Just a short blog post with my slides from OOP 2014: Next-Generation BPM – How to create intelligent Business Processes thanks to Big Data.
Business processes are often executed without access to relevant data because technical challenges occur when trying to integrate big masses of data from different sources into the BPM engine. Companies miss a huge opportunity here! This session shows how to achieve intelligent business processes to improve performance and outcomes by integrating big data – just with open source tooling.
Target Audience: Architects, Developers, Project Leader, Manager, Decision Makers
Prerequisites: Basic knowledge in a programming language, databases, and BPM concepts